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Traffic Volume Data Outlier Recovery via Tensor Model
Joint Authors
Wang, Wu-hong
Feng, Guangdong
Zhang, Yu-Jin
Tan, Huachun
Feng, Jianshuai
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Traffic volume data is already collected and used for a variety of purposes in intelligent transportation system (ITS).
However, the collected data might be abnormal due to the problem of outlier data caused by malfunctions in data collection and record systems.
To fully analyze and operate the collected data, it is necessary to develop a validate method for addressing the outlier data.
Many existing algorithms have studied the problem of outlier recovery based on the time series methods.
In this paper, a multiway tensor model is proposed for constructing the traffic volume data based on the intrinsic multilinear correlations, such as day to day and hour to hour.
Then, a novel tensor recovery method, called ADMM-TR, is proposed for recovering outlier data of traffic volume data.
The proposed method is evaluated on synthetic data and real world traffic volume data.
Experimental results demonstrate the practicability, effectiveness, and advantage of the proposed method, especially for the real world traffic volume data.
American Psychological Association (APA)
Tan, Huachun& Feng, Jianshuai& Feng, Guangdong& Wang, Wu-hong& Zhang, Yu-Jin. 2013. Traffic Volume Data Outlier Recovery via Tensor Model. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031706
Modern Language Association (MLA)
Tan, Huachun…[et al.]. Traffic Volume Data Outlier Recovery via Tensor Model. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1031706
American Medical Association (AMA)
Tan, Huachun& Feng, Jianshuai& Feng, Guangdong& Wang, Wu-hong& Zhang, Yu-Jin. Traffic Volume Data Outlier Recovery via Tensor Model. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031706
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031706